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Related Concept Videos

Design Example: Traverse Angle Computations01:25

Design Example: Traverse Angle Computations

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Traverse angle computations are a critical component of surveying, used to compute the internal angles within a closed traverse. A traverse consists of a series of connected lines forming a closed loop, often used for land boundary delineation or mapping. Calculating the internal angles ensures accuracy in the traverse geometry and is essential for checking survey data integrity.The process begins with known azimuths and bearings of the traverse sides. Internal angles at each vertex are...
272
Area Computation by the Alternative Coordinate Method01:24

Area Computation by the Alternative Coordinate Method

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The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
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Azimuths and Bearings01:19

Azimuths and Bearings

520
Azimuths and bearings are essential concepts in surveying, providing methods to express the direction of a line relative to a meridian. Azimuths refer to the clockwise angle measured from the north end of a reference meridian to the given line, ranging from zero to 360 degrees. This method gives a comprehensive directional reference within a full 360-degree circle, making it a straightforward way to communicate direction in various fields, including navigation, cartography, and...
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Adjusting a Traverse01:12

Adjusting a Traverse

328
In the site survey of a four-sided traverse, internal angles are essential to ensure geometric accuracy. The survey revealed that the sum of the measured internal angles was 359 degrees and 48 minutes, which is 12 minutes less than the expected 360 degrees. This discrepancy signals an error likely arising from measurement inaccuracies during the fieldwork.To rectify this error, the adjustment process involved distributing the 12-minute shortfall equally across the four internal angles. By...
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Spherical Coordinates01:23

Spherical Coordinates

14.4K
Spherical coordinate systems are preferred over Cartesian, polar, or cylindrical coordinates for systems with spherical symmetry. For example, to describe the surface of a sphere, Cartesian coordinates require all three coordinates. On the other hand, the spherical coordinate system requires only one parameter: the sphere's radius. As a result, the complicated mathematical calculations become simple. Spherical coordinates are used in science and engineering applications like electric and...
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Polar and Cylindrical Coordinates01:22

Polar and Cylindrical Coordinates

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The Cartesian coordinate system is a very convenient tool to use when describing the displacements and velocities of objects and the forces acting on them. However, it becomes cumbersome when we need to describe the rotation of objects. So, when describing rotation, the polar coordinate system is generally used.
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Related Experiment Video

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Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
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Analysis of the Azimuth Ambiguity and Imaging Area Restriction for Circular SAR Based on the Back-Projection

Bang Du1,2,3,4, Xiaolan Qiu1,3,4, Lijia Huang1,3,4

  • 1Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.

Sensors (Basel, Switzerland)
|November 16, 2019
PubMed
Summary

This study analyzes azimuth ambiguity in Circular Synthetic Aperture Radar (CSAR) sub-aperture imaging using the back-projection algorithm. It provides a new equation to calculate the azimuth ambiguity region, aiding CSAR parameter design.

Keywords:
BP algorithmazimuth ambiguitycircular SARsynthetic aperture radar imaging

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Area of Science:

  • Radar remote sensing
  • Synthetic Aperture Radar (SAR) imaging

Background:

  • Circular Synthetic Aperture Radar (CSAR) offers 360° observation.
  • Sub-aperture imaging is common due to target coherence limitations.
  • The back-projection (BP) algorithm is widely used for its simplicity and trajectory flexibility.

Purpose of the Study:

  • To theoretically analyze the limitations of CSAR imaging area and azimuth ambiguity.
  • To derive the relationship between azimuth ambiguity and CSAR parameters.
  • To provide theoretical support for CSAR design and analysis.

Main Methods:

  • Focus on sub-aperture imaging of CSAR based on the BP algorithm.
  • Derivation of relationships between azimuth ambiguity and CSAR parameters (PRF, slant range angle, platform velocity).
  • Proposal of an equation for calculating the azimuth ambiguity region.

Main Results:

  • Established the relationship between azimuth ambiguity and key CSAR parameters.
  • Developed a novel equation for calculating the azimuth ambiguity region.
  • Identified limitations in CSAR imaging area and ambiguity analysis.

Conclusions:

  • The derived equation provides theoretical support for CSAR parameter design.
  • Enhanced understanding of azimuth ambiguity limitations in CSAR.
  • Facilitates improved CSAR imaging area selection and ambiguity analysis.